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Picture tampering detection method and system based on deep learning

A tampering detection and deep learning technology, applied in the field of image processing, can solve problems such as poor detection effect and robustness, and achieve the effect of improving accuracy

Pending Publication Date: 2022-06-17
HEFEI HIGH DIMENSIONAL DATA TECH CO LTD
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Problems solved by technology

They cannot be well applied to tampered images of other stitching types, thus the detection performance and robustness are poor

Method used

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  • Picture tampering detection method and system based on deep learning
  • Picture tampering detection method and system based on deep learning
  • Picture tampering detection method and system based on deep learning

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Embodiment Construction

[0018] Combine below Figure 1 to Figure 5 , the present invention is described in further detail.

[0019] see figure 1 The invention discloses a method for detecting image tampering based on deep learning, comprising the following steps: A. Inputting the tampering image to be detected into a rough estimation network to obtain a strip detection image close to the tampering edge; B. Entering the tampering image to be detected After superimposing with the strip detection map, it is input to the precise estimation network to obtain an accurate tampered edge map; among them, the rough estimation network and the precise estimation network are both pre-trained network models. The invention perfectly eliminates the ambiguity of whether the tampered edge belongs to the tampered part or the non-tampered part by proposing a double edge method, and converts the complex task of directly predicting the tampering edge into a first-prediction method by thinking from coarse to fine. The tw...

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Abstract

The invention particularly relates to a picture tampering detection method based on deep learning, and the method comprises the following steps: A, inputting a to-be-detected tampered picture into a rough estimation network, and obtaining a strip detection picture close to a tampering edge; b, superposing the tampered graph to be detected and the strip detection graph, and inputting the superposed graph and the strip detection graph into an accurate estimation network to obtain an accurate tampered edge graph; wherein the rough estimation network and the accurate estimation network are pre-trained network models. According to the method, the ambiguity problem that the tampered edge belongs to a tampered part or a non-tampered part is perfectly eliminated by proposing a double-edge method, and a complicated task of directly predicting the tampered edge is converted into two sub-tasks of predicting an area close to the tampered edge and then predicting the accurate tampered edge through a thought from coarse to fine, so that the tampered edge prediction efficiency is improved. And the accuracy of the model is greatly improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for detecting image tampering based on deep learning. Background technique [0002] With the development of modern technology, anyone can edit images. Although this facilitates people's lives, everything has two sides: when maliciously tampered images are spread, it will affect people's judgment on objective things, and sometimes even have a negative impact on society and the country. Among all image tampering methods, the image stitching and tampering method has a wide range of applications because of its easy operation. Because image stitching and tampering is easy to operate, it also exists widely in academia. Some counterfeiters in academia "smartly" use image stitching and tampering techniques to modify the experimental effect to deceive the reviewers. This kind of fraud has always been criticized. Therefore, detection of image stitching forger...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06N3/04G06N3/08
CPCG06T7/0002G06T7/13G06N3/04G06N3/08G06T2207/20081G06T2207/20084
Inventor 田辉彭胜聪郭玉刚张志翔
Owner HEFEI HIGH DIMENSIONAL DATA TECH CO LTD
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